An interactive instance segmentation system with multi‐resolution convolutional neural networks
Abstract In this paper, a fast interactive instance segmentation (IIS) system is proposed and it is composed of an effective heatmap generator, a multi‐resolution network (MRNet), and an adaptive threshold refiner to promptly and precisely predict the masks of the objects. The proposed heatmap gener...
Main Authors: | Po‐Wei Sung, Wei‐Jong Yang, Jar‐Ferr Yang, Din‐Yuan Chan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-03-01
|
Series: | IET Computer Vision |
Online Access: | https://doi.org/10.1049/cvi2.12016 |
Similar Items
-
Class-Shared Convolutional Neural Network for Instance Segmentation via Pixelwise Instance Boundary
by: Lin, Zih-Ling, et al.
Published: (2017) -
Instance Segmentation Based on Deep Convolutional Neural Networks and Transfer Learning for Unconstrained Psoriasis Skin Images
by: Guo-Shiang Lin, et al.
Published: (2021-04-01) -
Shape-reserved stereo matching with segment-based cost aggregation and dual-path refinement
by: Chih-Shuan Huang, et al.
Published: (2020-09-01) -
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color
by: Yajun Xu, et al.
Published: (2020-01-01) -
CPISNet: Delving into Consistent Proposals of Instance Segmentation Network for High-Resolution Aerial Images
by: Xiangfeng Zeng, et al.
Published: (2021-07-01)